Type

Conference Proceedings

Authors

Eamonn Newman
Alan F. Smeaton
Feiyan Hu

Subjects

Computer Science

Topics
mathematical analysis missing data algorithms periodicity detection time series management signal processing lifelog

Periodicity detection in lifelog data with missing and irregularly sampled data (2014)

Abstract Lifelogging is the ambient, continuous digital recording of a person’s everyday activities for a variety of possible applications. Much of the work to date in lifelogging has focused on developing sensors, capturing information, processing it into events and then supporting event-based access to the lifelog for applications like memory recall, behaviour analysis or similar. With the recent arrival of aggregating platforms such as Apple’s HealthKit, Microsoft’s HealthVault and Google’s Fit, we are now able to collect and aggregate data from lifelog sensors, to centralize the management of data and in particular to search for and detect patterns of usage for individuals and across populations. In this paper, we present a framework that detects both lowlevel and high-level periodicity in lifelog data, detecting hidden patterns of which users would not otherwise be aware. We detect periodicities of time series using a combination of correlograms and periodograms, using various signal processing algorithms. Periodicity detection in lifelogs is particularly challenging because the lifelog data itself is not always continuous and can have gaps as users may use their lifelog devices intermittingly. To illustrate that periodicity can be detected from such data, we apply periodicity detection on three lifelog datasets with varying levels of completeness and accuracy.
Collections Ireland -> Dublin City University -> Publication Type = Conference or Workshop Item
Ireland -> Dublin City University -> Subject = Mathematics
Ireland -> Dublin City University -> Subject = Computer Science
Ireland -> Dublin City University -> Status = Published
Ireland -> Dublin City University -> Subject = Computer Science: Lifelog
Ireland -> Dublin City University -> Subject = Engineering: Signal processing
Ireland -> Dublin City University -> Subject = Mathematics: Mathematical analysis
Ireland -> Dublin City University -> DCU Faculties and Centres = Research Initiatives and Centres: INSIGHT Centre for Data Analytics
Ireland -> Dublin City University -> Subject = Engineering
Ireland -> Dublin City University -> DCU Faculties and Centres = Research Initiatives and Centres

Full list of authors on original publication

Eamonn Newman, Alan F. Smeaton, Feiyan Hu

Experts in our system

1
Eamonn Newman
Dublin City University
Total Publications: 28
 
2
Alan F. Smeaton
Dublin City University
Total Publications: 492
 
3
Feiyan Hu
Dublin City University
Total Publications: 16